(G)ARCH estimation. Input series.
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Dmitry Guzairov
el 7 de Jun. de 2018
Respondida: Hang Qian
el 7 de Jun. de 2018
After declaring a "default" garch model such as: model = garch(1,1); estimates = estimate(model, y); y should be return series or should it be residuals(squared) from mean models (arima for example)? i think an "offset" option inside model specification could be usefull, but have no clue about it.
0 comentarios
Respuesta aceptada
Hang Qian
el 7 de Jun. de 2018
Hi Dmitry,
If we have obtained the residuals, then we can create a GARCH model and just estimate the variance equation, like
model = garch(1,1);
estimate(model, y);
Also, we can directly estimate an ARIMA model with GARCH errors, so that both the mean equation and the variable equation are estimated simultaneously. For example,
Mdl = arima(1,0,1);
Mdl.Variance = garch(1,1);
estimate(Mdl,y);
Regards,
Hang Qian
0 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Conditional Variance Models en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!